Junior Autonomous Robotics and Navigation Engineer

The Guidance, Navigation, Control, and Autonomy Department of the Leidos Innovation Center develops and deploys cutting edge autonomy and alternative navigation systems for customers who can’t rely on GPS alone, and we need your help in the Rocket City (Huntsville, AL)! In this position you’ll be working on a mix of analytical and hands-on tasks including algorithm development, analysis, simulation, and field testing of autonomous navigation systems. Your group primarily supports research and development as well as advanced prototyping for customers including DARPA, NASA, Air Force Research Laboratory, Office of Naval Research, and the Army CCDC Aviation and Missile Center. These customers need to get our advanced technology into the field! You’ll be a part of more than one small team of engineers (typically 3-5) working together in spiral or agile development environments to meet aggressive customer schedules aimed at near-term field demonstrations of advanced capabilities. You’ll get to go demo your work in the field in front the customer! Are you excited about making advanced technologies work in the real world? Then we want you on our team!

Fun stuff on the job you will get to do:

- Support development, integration, and analysis of navigation fusion algorithms, including Extended Kalman Filters, Unscented Kalman Filters, and Particle Filters

- Support development, integration, and analysis of computer vision techniques (including feature extraction, feature matching, optical flow, visual odometry, and Simultaneous Localization and Mapping (SLAM) functions)

- Utilize simulation testbeds to support algorithm testing and assessment

- Travel with your team to demo your system to the customer on a variety of platforms, including aircraft, ground vehicles, pedestrians, and naval ships.  Testing trips typically last for 1-2 weeks and occur 3-4 times a year.

Skills you will need to be successful in this role:

- Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, Mechanical Engineering, or equivalent

- Must be a US Citizen

- Must be able to obtain a Secret security clearance

- Experience programming in MATLAB. You’ll do most of your analysis and algorithm development in Matlab. Strong programming experience in other languages usually makes transition to Matlab pretty easy, so this could work as well.

- A background in System Dynamics and Controls theory (e.g. PID Control, State Space Control, etc.)

You will wow us even more if you have these skills:

- Experience with either sensor fusion/estimation algorithms (e.g. Kalman Filters, Particles Filters, or Factor Graphs), or with computer vision algorithms (for instance openCV). If you have experience with both sensor fusion and computer vision that’s even better!

- Master’s or PhD Degree in major listed above

- Experience working with various sensor types (Inertial Measurement Units, GPS, cameras, LiDAR, etc.)

- Experience with C++ and/or Python

- Experience with the Robot Operating System (ROS) and the OpenCV computer vision library

- Experience with interface communication standards / protocols including RS232, RS422, TCP/IP, and UDP to communicate with various sensors

- Experience with autonomous system development through robotics competitions

- Experience with the Linux operating environment

- Experience using version control tools (GIT, Subversion, etc).

- Experience with AI/Machine Learning for computer vision or robotics applications

LInC

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.